Data Scientist Female 10th Pass Jobs in Chennai

Data Scientist, Focus on action-oriented insights through custom quantitative market research.concentration in pharma, biotech, healthcare industry.Candidates will support internal teams and drives strategic decisions by applying advanced analytics and machine learning concepts to solve business problems in pharmaceutical domain.

Veltris is a Digital Product Engineering Services partner committed to driving technology-enabled transformation across enterprises, businesses, and industries. We specialize in delivering next-generation solutions for sectors including healthcare, technology, communications, manufacturing, and finance. With a focus on innovation and acceleration, Veltris empowers clients to build, modernize, and scale intelligent products that deliver connected, AI-powered experiences. Our experience-centric approach, agile methodologies, and exceptional talent enable us to streamline product development, maximize platform ROI, and drive meaningful business outcomes across both digital and physical ecosystems. In a strategic move to strengthen our healthcare offerings and expand industry capabilities, Veltris has acquired BPK Technologies. This acquisition enhances our domain expertise, broadens our go-to-market strategy, and positions us to deliver even greater value to enterprise and mid-market clients in healthcare and beyond. Position: Senior Data ScientistResponsibilities: Design predictive models for trajectory forecasting, traffic participants behavior, and crossing probabilities. Develop risk scoring mechanisms using time-shifted risk prediction and sliding time windows. Implement multi-agent reinforcement learning (MARL) frameworks to simulate and train cooperative behaviors. Work with simulation teams to integrate ground truth scenarios and replayable datasets. Build scoring algorithms for different data dimensions based on the severity and impact. Evaluate model performance using precision, recall, and event-level accuracy. Collaborate with data engineers to define feature pipelines and streaming inputs.Requirements:5+ years of experience in applied data science, preferably in real-time or simulation-based environments.Strong proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow.Experience with time-series analysis, Bayesian models, or probabilistic forecasting.Understanding of reinforcement learning, especially in multi-agent settings.Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems.Disclaimer: The information provided herein is for general informational purposes only and reflects the current strategic direction and service offerings of Veltris. While we strive for accuracy, Veltris makes no representations or warranties regarding the completeness, reliability, or suitability of the information for any specific purpose. Any statements related to business growth, acquisitions, or future plans, including the acquisition of BPK Technologies, are subject to change without notice and do not constitute a binding commitment. Veltris reserves the right to modify its strategies, services, or business relationships at its sole discretion. For the most up-to-date and detailed information, please contact Veltris directly.

Job Description: We are seeking passionate and innovative Data Scientists to join our team. As a Data Scientist, you will work on analyzing and interpreting complex data to help drive business decisions. You will apply advanced analytical and statistical techniques to solve problems and improve processes across various business functions.Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights Develop machine learning models and algorithms to solve business challenges Work with cross-functional teams to translate data insights into actionable strategies Conduct data cleaning and preprocessing to ensure high-quality datasets Collaborate with engineering and product teams to deploy machine learning models Use statistical methods to analyze data and make predictionsSkills Required: Strong knowledge of programming languages such as Python, R, or SQL Familiarity with machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn, Keras) Experience in data visualization tools (Tableau, PowerBI, Matplotlib, etc.) Solid understanding of statistical techniques and data modeling Strong problem-solving and analytical skills Ability to work with big data tools (Hadoop, Spark) is a plusQualifications: Bachelor's or Master's Degree in Computer Science, Statistics, Mathematics, or a related field Freshers and candidates with up to 6 years of experience are encouraged to applyWhy Join Us: Exciting and innovative work environment Opportunities for continuous learning and career growth Competitive salary and benefitsContact Information: HR Contact: Pooja : 9962221037 Harsha : 9962399974 Janu : 9962399932

data scientist use statistical methods to collect and organize data. problem solving skills.

use statistical methods to collect and organize data problem solving skills

Job descriptionJob Overview: We are seeking a Lead Data Engineer (AWS) with 5-6 / 5+ years of experience in AWS Cloud platform, ETL development, and data processing tools. This role involves monitoring and supporting application workflows, ensuring system connectivity and performance. The ideal candidate should have hands-on experience with in depth knowledge on AWS services, AWS Glue, Redshift, Airflow, and other data processing tools such as Spark, with the ability to guide and mentor a team in a collaborative environment. This role requires leading a team to uphold operational standards hence the candidate should have experience handling a team. CTC / Budget allocated for (Lead-Data Engineer): 11-12 LPA (for deserving candidates)Primary Responsibilities:Application Monitoring & Workflow Management: Oversee job monitoring, application flow, and system connectivity to ensure smooth operations.Utilizing AWS Glue and Redshift for data processingCandidate should possess strong knowledge in AWS Glue, Redshift, and Airflow processes and should be able to resolve bottlenecks or issues.Retrigger failed jobs and manage job orchestration through Airflow for timely task completion.Cloud Monitoring & Notifications:Utilize AWS CloudWatch to monitor system health, performance, and job status.Setup AWS Push Notifications to alert the team to system issues, such as database downtime or performance degradation.

I require a person to assist us with a Data Scientist Udemy Course. If the person has the training videos ready, it's the best. If not, the person should be willing to create a course. The person has to create the full course.To Apply please go to GerardYadGG LinkedIn's Page, you will find the website link there, you can apply there. Please apply there to be considered.100% worldwide remote.ID PI 05Thank You.

To perform data mining, analysis and predictive modelling with development and support work

M.S. in Computer Science (preferred).Building and owning large-scale machine learning modelsProcessing large datasets (predominantly text, but also images) and working with big data technologies, languages, and frameworks: SCOPE, Spark, SQL, Pytorch, Tensorflow, Python, C#, JavaDesigning experiments, setting up evaluations and producing trustworthy conclusions.3+ years of experience in one or more ML/Deep Learning, NLP, IR, databases, and graph algorithms.1+ years of experience in parallel or distributed CPU/GPU processing, high-performance computing, or stream computing.Experience in deploying Machine Learning/Deep Learning models in Azure/AWS/GCP.Experience with Web applications and service architecture; Web information extraction is a plus.Strong desire to keep up to date with research and potential applications. Vision for how to advance state of the art.Successful candidates care about good software engineering practices, including version control, modular design, code quality, testing, and documentation.